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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to a specific sports team named "Indy."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Indy" related to events or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bey
    -0.68
    rem
    -0.67
    cher
    -0.67
    uster
    -0.65
    ocks
    -0.65
    collection
    -0.64
    path
    -0.63
    mal
    -0.62
     casc
    -0.62
     griev
    -0.62
    POSITIVE LOGITS
     Indy
    4.21
     Indianapolis
    2.27
    Indiana
    1.54
     Indiana
    1.49
     Colts
    1.39
     Daytona
    1.33
     Pacers
    1.29
    Indian
    1.29
     Speedway
    1.22
     NASL
    1.18
    Activations Density 0.024%

    No Known Activations